Spatiotemporal graph neural network for multivariate multi-step ahead time-series forecasting of sea temperature

Jinah Kim; Taekyung Kim; Joon-Gyu Ryu; Jaeil Kim

doi:10.1016/j.engappai.2023.106854

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Spatiotemporal graph neural network for multivariate multi-step ahead time-series forecasting of sea temperature

Jinah Kim Taekyung Kim Joon-Gyu Ryu Jaeil Kim

Year: 2023 Journal: Engineering Applications of Artificial Intelligence Vol: 126 Pages: 106854-106854 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2023.106854

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Keywords:

Computer science Predictability Graph Time series Artificial neural network Multivariate statistics Artificial intelligence Autoencoder Data mining Machine learning Extreme learning machine Theoretical computer science

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Topics

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Climate variability and models

Physical Sciences → Environmental Science → Global and Planetary Change

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Spatiotemporal graph neural network for multivariate multi-step ahead time-series forecasting of sea temperature

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Citation History

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